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Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties
Offloading is a popular way to overcome the resource and power constraints of networked embedded devices, which are increasingly found in industrial environments. It involves moving resource-intensive computational tasks to a more powerful device on the ...
On the adversarial robustness of full integer quantized TinyML models at the edge
The recent surge in deploying machine learning (ML) models at the edge has revolutionized various industries by enabling real-time decision-making on resource-constrained devices, such as TinyML models on microcontrollers. However, this trend brings ...
Performance Characterization of MQTT Brokers in a Device-Local Edge Deployment
The Message Queuing Telemetry Transport (MQTT) protocol is prevalent in the IoT landscape, as it can be used to dynamically interconnect the entities that produce and consume data (i.e., sensors and services/actuators) with easy-to-use abstractions and ...
Enoki: Stateful Distributed FaaS from Edge to Cloud
Function-as-a-Service (FaaS) is a promising paradigm for applications distributed across the edge-cloud continuum. FaaS functions are stateless by nature, leading to high elasticity and transparent invocation. Supporting stateful applications, however, ...
Index Terms
- Proceedings of the 2nd International Workshop on Middleware for the Edge